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Record W2374081301

A Variational-Adomian Iteration Method for Solving the MHD Flow over a Nonlinear Stretching Sheet

2014· article· en· W2374081301 on OpenAlex
Bai Xi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Inner Mongolia University · 2014
Typearticle
Languageen
FieldMathematics
TopicFractional Differential Equations Solutions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMagnetohydrodynamic driveAdomian decomposition methodMathematicsNonlinear systemMathematical analysisMagnetohydrodynamicsBoundary value problemBoundary layerFlow (mathematics)Series (stratigraphy)Shooting methodInitial value problemPartial differential equationApplied mathematicsPhysicsGeometryMechanicsMagnetic field
DOInot available

Abstract

fetched live from OpenAlex

Based on the variational iteration method and the Adomian's polynomials,a variational-Adomian iteration method(VAIM)for solving the initial value problems for the nonhomogeneous ordinary differential equations is presented and is applied to solving the series solution for an initial value problem of the magnetohydrodynamic(MHD)boundary layer flow.The obtained results are compared through the Padeapproximation and the geometrical behavior with the existing solution,which reveals that the proposed method is very effective and can be used for other nonlinear boundary layer problems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.875
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.297
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it